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README.md

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+---
+license: apache-2.0
+---
+
+# angular-separation-vit — reproduction checkpoints
+
+Final (`_last.pt`) checkpoints backing *"Dos modelos idénticos, dos
+podas distintas: la dirección dominante de $W_O$ bajo intervención
+libre, suave y dura"* ("Same function, different pruning: the
+dominant direction of $W_O$ under free, soft, and hard intervention").
+These are verification artifacts for reproducing the paper's tables —
+not meant as general-purpose pretrained weights.
+
+Code: <https://github.com/mmunozpl/angular-separation-vit>
+CSV results derived from these checkpoints: <https://huggingface.co/datasets/ManuelPla/angular-separation-vit-results>
+
+## Layout
+
+```
+vitb_clean/attnA_{base,blanda,dura}_seed{42..46}_last.pt   # ancla, n=5
+vitl_clean/attnA_{base,blanda,dura}_seed{42..44}_last.pt   # n=3
+dinov2_clean/attnA_base_seed42_last.pt                     # frozen, n=1
+```
+
+`base` = fine-tuned ViT with no angular regularizer. `blanda` = soft
+angular probe (`R_div`, eq. 5). `dura` = hard variant, reprojected to
+the spherical code after every optimizer step. DINOv2 is analyzed
+frozen (no fine-tuning), hence a single realization.
+
+All backbones derive from `timm` pretrained weights (ImageNet-1k for
+ViT-B/16 and ViT-L/16; LVD-142M self-supervised pretraining for
+DINOv2), fine-tuned on ImageNet-100 for the two supervised columns.
+Redistributed under Apache-2.0, consistent with the code license;
+verify compatibility with upstream pretraining licenses before reuse
+beyond reproduction of this paper.
+
+## License
+
+Apache-2.0.